Sathyanarayanan N. Aakur

According to our database, Sathyanarayanan N. Aakur authored at least 44 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An insight on recent advancements and future perspectives in detection techniques of Parkinson's disease.

Snehith Sankineni, Aanchal Saraswat, M. Suchetha, Sathyanarayanan N. Aakur, S. Sehastrajit, Edwin Dhas D

Evol. Intell., June, 2024

TEPI: Taxonomy-Aware Embedding and Pseudo-Imaging for Scarcely-Labeled Zero-Shot Genome Classification.

Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran

IEEE J. Biomed. Health Informatics, April, 2024

Self-supervised Multi-actor Social Activity Understanding in Streaming Videos.

Shubham Trehan, Sathyanarayanan N. Aakur

CoRR, 2024

Capturing Temporal Components for Time Series Classification.

Venkata Ragavendra Vavilthota, Ranjith Ramanathan, Sathyanarayanan N. Aakur

CoRR, 2024

ALGO: Object-Grounded Visual Commonsense Reasoning for Open-World Egocentric Action Recognition.

Sanjoy Kundu, Shubham Trehan, Sathyanarayanan N. Aakur

CoRR, 2024

Pipelined Structure in the Classification of Skin Lesions Based on Alexnet CNN and SVM Model With Bi-Sectional Texture Features.

V. S. S. Bala Tripura Sathvika, Nagilla Anmisha, Vada Thanmayi, M. Suchetha, Edwin Dhas D, S. Sehastrajit, Sathyanarayanan N. Aakur

IEEE Access, 2024

Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis.

Shenyuan Liang, Anuj Srivastava, Maurício Pamplona Segundo, Sudeep Sarkar, Sathyanarayanan N. Aakur

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference Using Pattern Theory.

Sathyanarayanan N. Aakur, Sudeep Sarkar

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Discovering Novel Actions in an Open World with Object-Grounded Visual Commonsense Reasoning.

Sathyanarayanan N. Aakur, Sanjoy Kundu, Shubham Trehan

CoRR, 2023

ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition.

Shubham Trehan, Udhav Ramachandran, Ruth Scimeca, Sathyanarayanan N. Aakur

Proceedings of the International Conference on Machine Learning and Applications, 2023

IS-GGT: Iterative Scene Graph Generation with Generative Transformers.

Sanjoy Kundu, Sathyanarayanan N. Aakur

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Knowledge guided learning: Open world egocentric action recognition with zero supervision.

Sathyanarayanan N. Aakur, Sanjoy Kundu, Nikhil Gunti

Pattern Recognit. Lett., 2022

Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning.

Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran

CoRR, 2022

Iterative Scene Graph Generation with Generative Transformers.

Sanjoy Kundu, Sathyanarayanan N. Aakur

CoRR, 2022

A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process.

Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal, Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava

CoRR, 2022

Towards Active Vision for Action Localization with Reactive Control and Predictive Learning.

Shubham Trehan, Sathyanarayanan N. Aakur

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

ISD-QA: Iterative Distillation of Commonsense Knowledge from General Language Models for Unsupervised Question Answering.

Priyadharsini Ramamurthy, Sathyanarayanan N. Aakur

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration.

Aditi Basu Bal, Ramy Mounir, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava

Proceedings of the Computer Vision - ECCV 2022, 2022

Actor-Centered Representations for Action Localization in Streaming Videos.

Sathyanarayanan N. Aakur, Sudeep Sarkar

Proceedings of the Computer Vision - ECCV 2022, 2022

Peanut Seed Germination Detection from Aerial Images.

Shengfang Ma, Yuting Zhou, K. Colton Flynn, Sathyanarayanan N. Aakur

Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2021

Learning Actor-centered Representations for Action Localization in Streaming Videos using Predictive Learning.

Sathyanarayanan N. Aakur, Sudeep Sarkar

CoRR, 2021

Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling.

Sathyanarayanan N. Aakur, Arunkumar Bagavathi

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training.

Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis.

Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

LexDivPara: A Measure of Paraphrase Quality with Integrated Sentential Lexical Complexity.

Thanh Thieu, Ha Do, Thanh Duong, Shi Pu, Sathyanarayanan N. Aakur, Saad Khan

Proceedings of the Intelligent Systems and Applications, 2021

Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis.

Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision.

Sathyanarayanan N. Aakur, Sanjoy Kundu, Nikhil Gunti

CoRR, 2020

Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks.

Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi

CoRR, 2020

Dissecting Convolutional Neural Networks for Efficient Implementation on Constrained Platforms.

Vishalini R. Laguduva, Shakil Mahmud, Sathyanarayanan N. Aakur, Robert Karam, Srinivas Katkoori

Proceedings of the 33rd International Conference on VLSI Design and 19th International Conference on Embedded Systems, 2020

GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning.

Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Action Localization Through Continual Predictive Learning.

Sathyanarayanan N. Aakur, Sudeep Sarkar

Proceedings of the Computer Vision - ECCV 2020, 2020

Benchmark and Evaluation of Low Resource Object Detection in Biomedical Images.

Sanjoy Kundu, Nikhil Gunti, Bailey Hendrickson, Sunil More, Sathyanarayanan N. Aakur

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019

Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation.

Sathyanarayanan N. Aakur

PhD thesis, 2019

Abductive Reasoning as Self-Supervision for Common Sense Question Answering.

Sathyanarayanan N. Aakur, Sudeep Sarkar

CoRR, 2019

Fine-grained Action Detection in Untrimmed Surveillance Videos.

Sathyanarayanan N. Aakur, Daniel Sawyer, Sudeep Sarkar

Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2019

Going Deeper With Semantics: Video Activity Interpretation Using Semantic Contextualization.

Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Machine Learning Based IoT Edge Node Security Attack and Countermeasures.

Vishalini R. Laguduva, Sheikh Ariful Islam, Sathyanarayanan N. Aakur, Srinivas Katkoori, Robert Karam

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Latent Space Modeling for Cloning Encrypted PUF-Based Authentication.

Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur, Srinivas Katkoori

Proceedings of the Internet of Things. A Confluence of Many Disciplines, 2019

A Perceptual Prediction Framework for Self Supervised Event Segmentation.

Sathyanarayanan N. Aakur, Sudeep Sarkar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Fine-grained Action Detection in Long Surveillance Videos.

Sathyanarayanan N. Aakur, Daniel Sawyer, Michal Balazia, Sudeep Sarkar

Proceedings of the 2018 TREC Video Retrieval Evaluation, 2018

Using Semantic Relationships among Objects for Geospatial Land Use Classification.

Gilbert Rotich, Sathyanarayanan N. Aakur, Rodrigo Minetto, Maurício Pamplona Segundo, Sudeep Sarkar

Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018

An Inherently Explainable Model for Video Activity Interpretation.

Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos.

Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar

CoRR, 2017

Towards a Knowledge-Based Approach for Generating Video Descriptions.

Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar

Proceedings of the 14th Conference on Computer and Robot Vision, 2017